Facebook
Twitter
YouTube
Instagram
    • español
    • English
  • Contacto
  • English 
    • español
    • English
  • Login
AboutAuthorsTitlesSubjectsCollectionsCommunities☰
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
    xmlui.general.dspace_homeCentros e Institutos de InvestigaciónCICVyA. Centro de Investigación en Ciencias Veterinarias y AgronómicasInstituto de BiotecnologíaArtículos científicosxmlui.ArtifactBrowser.ItemViewer.trail
  • DSpace Home
  • Centros e Institutos de Investigación
  • CICVyA. Centro de Investigación en Ciencias Veterinarias y Agronómicas
  • Instituto de Biotecnología
  • Artículos científicos
  • View Item

ATGC transcriptomics : a web-based application to integrate, explore and analyze de novo transcriptomic data

Abstract
Background: In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for evaluating differential gene expression by digital measurements. The large and complex datasets resulting from functional genomic experiments represent a challenge in [ver mas...]
Background: In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for evaluating differential gene expression by digital measurements. The large and complex datasets resulting from functional genomic experiments represent a challenge in data processing, management, and analysis. This problem is especially significant for small research groups working with non-model species. Results: We developed a web-based application, called ATGC transcriptomics, with a flexible and adaptable interface that allows users to work with new generation sequencing (NGS) transcriptomic analysis results using an ontology-driven database. This new application simplifies data exploration, visualization, and integration for a better comprehension of the results. Conclusions: ATGC transcriptomics provides access to non-expert computer users and small research groups to a scalable storage option and simple data integration, including database administration and management. The software is freely available under the terms of GNU public license at http://atgcinta.sourceforge.net. [Cerrar]
Thumbnail
Author
Gonzalez, Sergio Alberto;   Clavijo, Bernardo;   Rivarola, Maximo Lisandro;   Moreno, Patricio;   Fernández, Paula;   Dopazo, Joaquín;   Paniego, Norma Beatriz;  
Fuente
BMC bioinformatics 18 (121) : 1-9. (2017)
Date
2017-02-22
URI
http://hdl.handle.net/20.500.12123/502
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1494-2
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Programas de ordenador; World Wide Web; Secuencia de ARN;
Derechos de acceso
Abierto
Descargar
Compartir
  • Compartir
    Facebook Email Twitter Mendeley
Excepto donde se diga explicitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Metadata
Show full item record